Host, family and community proxies for infections potentially associated with leukaemia.
Three hypotheses have proposed the involvement of infections in the aetiology of childhood leukaemia, suggesting either a specific leukaemogenic infection or a series of common infections that lead to a dysregulation of the immune system. Much of the evidence for the link with infections has been based on epidemiological observations, often using proxy measures of infection. Proxy measures include population mixing, parental occupation, age distribution of incidence, spatial and space-time clustering of cases, birth order and day care during infancy. This paper discusses the proxies used and examines to what extent a commonly used proxy measure, birth order, is a fair representation of either specific infections or general infectious load. It is clear that although leukaemia, and other diseases, may be linked with infections, one needs to (1) measure specific and general infections with more accuracy and (2) understand how proxy measures relate to real infections in the population.
Law
Graham Richard
GR
Biostatistics Unit, Centre for Epidemiology and Biostatistics, Room 8.01, Worsley Building, University of Leeds, Leeds LS2 9LN, UK. g.r.law@leeds.ac.uk
D002140:California / Q000453:epidemiology; D015984:Causality; D002648:Child; D002656:Child Day Care Centers / Q000706:statistics & numerical data*; D015897:Comorbidity; D004781:Environmental Exposure / Q000706:statistics & numerical data*; D006801:Humans; D015994:Incidence; D007239:Infections / Q000453:epidemiology*; D007938:Leukemia / Q000453:epidemiology*; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D055815:Young Adult